کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
565477 1451859 2016 18 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A signal processing approach for enhanced Acoustic Emission data analysis in high activity systems: Application to organic matrix composites
ترجمه فارسی عنوان
روش پردازش سیگنال برای افزایش داده های آکوستیکی انتشار داده ها در سیستم های فعال: برنامه های کاربردی به کامپوزیت های ماتریس آلی
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر پردازش سیگنال
چکیده انگلیسی


• The problem of continuous Acoustic Emission in CFRP composites was addressed.
• A high loading rate test under a high noise level has fathered continuous emission.
• The approach includes signal denoising, hit determination and feature extraction.
• It is managed to eliminate the hits saturation using signal segmentation.
• It allows a better identification of natural clusters using the GK algorithm.

Structural elements made of Organic Matrix Composites (OMC) under complex loading may suffer from high Acoustic Emission (AE) activity caused by the emergence of different emission sources at high rates with high noise level, which finally engender continuous emissions. The detection of hits in this situation becomes a challenge particularly during fatigue tests. This work suggests an approach based on the Discrete Wavelet Transform (DWT) denoising applied on signal segments. A particular attention is paid to the adjustment of the denoising parameters based on pencil lead breaks and their influence on the quality of the denoised AE signals. The validation of the proposed approach is performed on a ring-shaped Carbon Fiber Reinforced Plastics (CFRP) under in-service-like conditions involving continuous emissions with superimposed damage-related transients. It is demonstrated that errors in hit detection are greatly reduced leading to a better identification of the natural damage scenario based on AE signals.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Mechanical Systems and Signal Processing - Volumes 70–71, March 2016, Pages 1038–1055
نویسندگان
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